Spatial Analysis: Interpolation and Viewsheds

Project Summary

This week’s assignment was about learning different interpolation methods and application of viewshed analysis. The whole task was divided into 2 parts. Part A talks about using interpolation methods to predict the mean temperature data for the whole Canada. The second part is about applying viewshed analysis for a cell phone company who wants to provide coverage for the city of the Calgary. Placing three cell phone towers the company wants to know which neighborhoods receive cell phone coverage and have a young population. The results show that the mean temperature for the month of October, 2015 of whole Canada ranged from -18. 5 °C to 14.9 °C and southern regions of the country enjoyed the warmest temperatures. Considering the market criteria, the three towers located in the town can 106 neighborhoods of the city, which are of 200. 89 km2. The land use class type of these neighborhoods are mostly residential (92.45%) with few having (5.66%) industrial use. However, with 8Km buffer the cell tower cannot cover 15 neighborhoods which met the market criteria.

Result Maps :

Part A

 

Part B:

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